About Juan Carlos L. Alcazar Juan Carlos L. Alcazar Postdoctoral Research Fellow, Image and Video Understanding Lab analysis of contextual information Juan Carlos L. Alcazar is a Postdoctoral Research Fellow at the Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST), working with Professor Bernard Ghanem at the Image and Video Understanding Laboratory (IVUL). Education and Early Career Juan Carlos L. Alcazar is a Ph.D. in Computer Science from Los Andes University, and MSc. from the Universidad Nacional de Colombia. He completed my Ph.D. dissertation on applied Computer Vision under the supervision of Prof. Pablo Arbeláez, at the Biomedical Computervision Group. Before joined KAUST, he was a research Articles Related News March 2026 Five IVUL Papers Accepted to CVPR 2026 1 min read · Sun, Mar 1 2026 News CVPR IVUL has five papers accepted to CVPR 2026, which will be held in Denver, Colorado, June 3–7, 2026. The accepted papers are: β-CLIP: Text-Conditioned Contrastive Learning for Multi-Granular Vision-Language Alignment Authors: Fatimah Zohra, Chen Zhao, Hani Itani, Bernard Ghanem Affiliations: KAUST CURE: Curriculum-Guided Multi-Task Training for Reliable Anatomy-Grounded Report Generation Authors: Pablo Messina, Andrés Villa, Juan León Alcázar, Karen Sánchez, Carlos Hinojosa, Denis Parra, Álvaro Soto, Bernard Ghanem Affiliations: KAUST; Pontificia Universidad Católica de Chile EasyV2V: A High
Five IVUL Papers Accepted to CVPR 2026 1 min read · Sun, Mar 1 2026 News CVPR IVUL has five papers accepted to CVPR 2026, which will be held in Denver, Colorado, June 3–7, 2026. The accepted papers are: β-CLIP: Text-Conditioned Contrastive Learning for Multi-Granular Vision-Language Alignment Authors: Fatimah Zohra, Chen Zhao, Hani Itani, Bernard Ghanem Affiliations: KAUST CURE: Curriculum-Guided Multi-Task Training for Reliable Anatomy-Grounded Report Generation Authors: Pablo Messina, Andrés Villa, Juan León Alcázar, Karen Sánchez, Carlos Hinojosa, Denis Parra, Álvaro Soto, Bernard Ghanem Affiliations: KAUST; Pontificia Universidad Católica de Chile EasyV2V: A High
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